Celebrating Tourism Innovation, Sustainability And Academic Excellence: How FITUR Is Shaping The Future Of Global Travel In Spain - Travel And Tour World
- Bias Rating
- Reliability
10% ReliableLimited
- Policy Leaning
-52% Medium Left
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
58% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Liberal
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
68% : Awards such as the Best Stand and Sustainable Stand highlighted remarkable presentations that combined aesthetics with eco-friendly infrastructures, emphasizing a blend of cultural representation and green principles.66% : Numerous international programs were showcased, highlighting efforts in environmental protection, digital advancements, and social inclusion.
65% : The FITUR Awards played a key role in recognizing excellence across tourism marketing, design, academic research, and sustainability initiatives.
64% : FITUR 2025 acted as a vital global platform that brought together diverse stakeholders from the tourism sector, including public institutions, private enterprises, and international organizations.
63% : Each of these segments served as a vivid demonstration of how the tourism industry is expanding and diversifying its offerings to accommodate a wider variety of traveler preferences while prioritizing sustainability and social responsibility.
58% : Several awards recognized entities that implemented comprehensive sustainability projects, intelligent reuse of materials, and strategies towards achieving carbon neutrality in their activities.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.